Port the ClGemmLowp kernels to the new API

Ported kernels:
 - CLGEMMLowpMatrixMultiplyNativeKernel
 - CLGEMMLowpMatrixMultiplyReshapedKernel
 - CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
 - CLGEMMLowpOffsetContributionKernel
 - CLGEMMLowpOffsetContributionOutputStageKernel
 - CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel
 - CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel
 - CLGEMMLowpQuantizeDownInt32ScaleKernel

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I9d5a744d6a2dd2f2726fdfb291bad000b6970de2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5870
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 13 insertions, 7 deletions

diff --git a/src/runtime/CL/functions/CLLSTMLayerQuantized.cpp b/src/runtime/CL/functions/CLLSTMLayerQuantized.cpp
index a44dcd2e24..589523a3c3 100644
--- a/src/runtime/CL/functions/CLLSTMLayerQuantized.cpp
+++ b/src/runtime/CL/functions/CLLSTMLayerQuantized.cpp
@@ -28,11 +28,6 @@
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/core/utils/quantization/AsymmHelpers.h"
 #include "src/core/CL/kernels/CLFillBorderKernel.h"
-#include "src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h"
-#include "src/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h"
-#include "src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h"
-#include "src/core/CL/kernels/CLGEMMLowpOffsetContributionOutputStageKernel.h"
-#include "src/core/CL/kernels/CLGEMMLowpReductionKernel.h"
 #include "src/core/helpers/AutoConfiguration.h"
 
 #include <memory>
@@ -179,7 +174,13 @@ void CLLSTMLayerQuantized::configure(const CLCompileContext &compile_context, co
     quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift);
 
     _memory_group.manage(&_output_lowp);
-    _output_stage.configure(compile_context, &_output_highp, &_bias, &_output_lowp, output_multiplier, output_shift);
+
+    GEMMLowpOutputStageInfo info{};
+    info.type                = GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT;
+    info.gemmlowp_multiplier = output_multiplier;
+    info.gemmlowp_shift      = output_shift;
+    info.output_data_type    = DataType::QSYMM16;
+    _output_stage.configure(compile_context, &_output_highp, &_bias, &_output_lowp, info);
     _output_highp.allocator()->allocate();
     _bias.allocator()->allocate();
 
@@ -386,7 +387,12 @@ Status CLLSTMLayerQuantized::validate(const ITensorInfo *input,
     ARM_COMPUTE_RETURN_ON_ERROR(quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift));
 
     // _output_stage
-    ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate(&output_highp, &bias_concatenated, &output_lowp));
+    GEMMLowpOutputStageInfo info{};
+    info.type                = GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT;
+    info.gemmlowp_multiplier = output_multiplier;
+    info.gemmlowp_shift      = output_shift;
+    info.output_data_type    = DataType::QSYMM16;
+    ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMLowpOutputStage::validate(&output_highp, &bias_concatenated, &output_lowp, info));
 
     TensorInfo input_gate_input;
     TensorInfo forget_gate_input;